The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 문서에서는 백엔드 연결이 온 저항을 지배하는 경향이 있기 때문에 전력 MOSFET 기반 드라이버에 대한 백엔드 연결의 금속화 패턴을 최적화하는 문제를 다룹니다. Ron 운전자의. 우리는 최소화를 목표로 하는 패턴에 대해 더 나은 기하학적 모양을 찾는 휴리스틱 알고리즘을 제안합니다. Ron 전류 분포의 균형을 맞추는 것입니다. 분석 속도를 높이기 위해 어드미턴스 행렬이 반복적으로 반전되는 것을 방지하기 위해 이상적인 스위치를 삽입하여 드라이버의 등가 저항 네트워크를 수정합니다. 이상적인 스위치의 동작 모델을 사용하면 최적화를 크게 가속화할 수 있습니다. 산업용 TEG 데이터의 세 가지 드라이버에 대한 시뮬레이션은 우리 알고리즘이 다음을 줄일 수 있음을 보여줍니다. Ron 주어진 라우팅 영역 내에서 금속을 적절하게 성형함으로써 효과적으로.
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부
Bo YANG, Shigetoshi NAKATAKE, "Fast Shape Optimization of Metalization Patterns for Power-MOSFET Based Driver" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 12, pp. 3052-3060, December 2009, doi: 10.1587/transfun.E92.A.3052.
Abstract: This paper addresses the problem of optimizing metalization patterns of back-end connections for the power-MOSFET based driver since the back-end connections tend to dominate the on-resistance Ron of the driver. We propose a heuristic algorithm to seek for better geometric shapes for the patterns targeting at minimizing Ron and at balancing the current distribution. In order to speed up the analysis, the equivalent resistance network of the driver is modified by inserting ideal switches to avoid repeatedly inverting the admittance matrix. With the behavioral model of the ideal switch, we can significantly accelerate the optimization. Simulation on three drivers from industrial TEG data demonstrates that our algorithm can reduce Ron effectively by shaping metals appropriately within a given routing area.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.3052/_p
부
@ARTICLE{e92-a_12_3052,
author={Bo YANG, Shigetoshi NAKATAKE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fast Shape Optimization of Metalization Patterns for Power-MOSFET Based Driver},
year={2009},
volume={E92-A},
number={12},
pages={3052-3060},
abstract={This paper addresses the problem of optimizing metalization patterns of back-end connections for the power-MOSFET based driver since the back-end connections tend to dominate the on-resistance Ron of the driver. We propose a heuristic algorithm to seek for better geometric shapes for the patterns targeting at minimizing Ron and at balancing the current distribution. In order to speed up the analysis, the equivalent resistance network of the driver is modified by inserting ideal switches to avoid repeatedly inverting the admittance matrix. With the behavioral model of the ideal switch, we can significantly accelerate the optimization. Simulation on three drivers from industrial TEG data demonstrates that our algorithm can reduce Ron effectively by shaping metals appropriately within a given routing area.},
keywords={},
doi={10.1587/transfun.E92.A.3052},
ISSN={1745-1337},
month={December},}
부
TY - JOUR
TI - Fast Shape Optimization of Metalization Patterns for Power-MOSFET Based Driver
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3052
EP - 3060
AU - Bo YANG
AU - Shigetoshi NAKATAKE
PY - 2009
DO - 10.1587/transfun.E92.A.3052
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2009
AB - This paper addresses the problem of optimizing metalization patterns of back-end connections for the power-MOSFET based driver since the back-end connections tend to dominate the on-resistance Ron of the driver. We propose a heuristic algorithm to seek for better geometric shapes for the patterns targeting at minimizing Ron and at balancing the current distribution. In order to speed up the analysis, the equivalent resistance network of the driver is modified by inserting ideal switches to avoid repeatedly inverting the admittance matrix. With the behavioral model of the ideal switch, we can significantly accelerate the optimization. Simulation on three drivers from industrial TEG data demonstrates that our algorithm can reduce Ron effectively by shaping metals appropriately within a given routing area.
ER -